Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Gerry Wiener"'
Autor:
Curtis L. Walker, Amanda Siems-Anderson, Erin Towler, Aubrey Dugger, Andrew Gaydos, Gerry Wiener
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101218- (2024)
Flooding is among the costliest and deadliest weather disasters. Moreover, different types of flooding have significant impacts on the transportation network and infrastructure including flash, riverine, urban, coastal, and storm surge. The variety o
Externí odkaz:
https://doaj.org/article/bd3e0d6cadfb41198d78568325cfead2
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 8, Iss , Pp 100253- (2020)
Numerical weather prediction (NWP), a method of weather forecasting using equations that describe atmospheric flows and behavior, is used extensively to help predict weather conditions along roadways and has important implications for maintaining saf
Externí odkaz:
https://doaj.org/article/934d3152da7c4432bba2a4e829466eb4
Autor:
Amanda R. Siems-Anderson, Curtis L. Walker, Gerry Wiener, William P. Mahoney, III, Sue Ellen Haupt
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 3, Iss , Pp - (2019)
Operating modern multi-modal surface transportation systems are becoming increasingly automated and driven by decision support systems. One aspect necessary for successful, safe, reliable, and efficient operation of any transportation network is real
Externí odkaz:
https://doaj.org/article/ed9826aa65f743de952a1d057beddbc0
Autor:
Sue Ellen Haupt, Tyler C. McCandless, Susan Dettling, Stefano Alessandrini, Jared A. Lee, Seth Linden, William Petzke, Thomas Brummet, Nhi Nguyen, Branko Kosović, Gerry Wiener, Tahani Hussain, Majed Al-Rasheedi
Publikováno v:
Energies, Vol 13, Iss 8, p 1979 (2020)
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, which is being
Externí odkaz:
https://doaj.org/article/ef3b2c22c909482f905fefa91e9f68fb
Autor:
Branko Kosovic, Sue Ellen Haupt, Daniel Adriaansen, Stefano Alessandrini, Gerry Wiener, Luca Delle Monache, Yubao Liu, Seth Linden, Tara Jensen, William Cheng, Marcia Politovich, Paul Prestopnik
Publikováno v:
Energies, Vol 13, Iss 6, p 1372 (2020)
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical
Externí odkaz:
https://doaj.org/article/60b849f0304941c9b50694505a1c1b02
Autor:
William Petzke, Tyler McCandless, Jared A. Lee, Stefano Alessandrini, Seth Linden, Majed Al-Rasheedi, Thomas Brummet, Nhi Nguyen, Sue Ellen Haupt, Susan Dettling, Gerry Wiener, Tahani Hussain, Branko Kosovic
Publikováno v:
Energies; Volume 13; Issue 8; Pages: 1979
Energies, Vol 13, Iss 1979, p 1979 (2020)
Energies, Vol 13, Iss 1979, p 1979 (2020)
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, which is being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc6de4b7d5b0772321f7d7a383c97b8
Autor:
James Cowie, Tyler McCandless, Laura M. Hinkelman, Paul Kalb, Tara Jensen, Matthew A. Rogers, Sue Ellen Haupt, Yu Xie, Manajit Sengupta, Jared A. Lee, Jeffrey K. Lazo, Branko Kosovic, Pedro A. Jiménez, Gerry Wiener, Steven D. Miller, John Heiser
Publikováno v:
Bulletin of the American Meteorological Society. 99:121-136
As integration of solar power into the national electric grid rapidly increases, it becomes imperative to improve forecasting of this highly variable renewable resource. Thus, a team of researchers from the public, private, and academic sectors partn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e4f03198e4f2a2f3764cd51f2bacd64
https://doi.org/10.1175/bams-d-16-0221.1
https://doi.org/10.1175/bams-d-16-0221.1
Autor:
Julia M. Pearson, Sue Ellen Haupt, John K. Williams, Crystal Burghardt, Branko Kosovic, Susan Dettling, Tyler McCandless, Gerry Wiener, Thomas Brummet, Tara Jensen
Publikováno v:
Solar Energy. 157:542-551
Utilities consider having accurate electric load forecasts to be critical to their day-to-day operations. But the growing penetration of distributed photovoltaic (DPV) solar power production “behind the meter” makes it more difficult to predict l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e82c0a088caed13239980e051d463bd
https://doi.org/10.1016/j.solener.2017.08.049
https://doi.org/10.1016/j.solener.2017.08.049
Autor:
Luca Delle Monache, Marcia K. Politovich, Daniel R. Adriaansen, Tara Jensen, Gerry Wiener, Sue Ellen Haupt, William Y. Y. Cheng, Yubao Liu, Branko Kosovic, Paul Prestopnik, Stefano Alessandrini, Seth Linden
Publikováno v:
Energies; Volume 13; Issue 6; Pages: 1372
Energies, Vol 13, Iss 6, p 1372 (2020)
Energies, Vol 13, Iss 6, p 1372 (2020)
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82d1dca87847d1b56927f2202041885
https://doi.org/10.3390/en13061372
https://doi.org/10.3390/en13061372
Autor:
Curtis L. Walker, William P. Mahoney, Gerry Wiener, Sue Ellen Haupt, Amanda R. Siems-Anderson
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 3, Iss, Pp-(2019)
Operating modern multi-modal surface transportation systems are becoming increasingly automated and driven by decision support systems. One aspect necessary for successful, safe, reliable, and efficient operation of any transportation network is real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd86b99951b4b848eda3857e58124d1b
https://doi.org/10.1016/j.trip.2019.100071
https://doi.org/10.1016/j.trip.2019.100071